The Boundaries of Corporate Law and Trust Law: An Analysis of Locking v. McCowan
Bibliographic record
Abstract
There is an increasing trend among real estate investment trusts (REITs) to employ corporate law duties in formulating the duties of trustees. We contend that this approach represents a fundamental misunderstanding of the trust versus corporate law. To illustrate this point, we examine the case of Locking v. McCowan, a decision that we claim underscores the conceptual uncertainty regarding the extent to which corporate law applies in the income trust context. We argue that the case takes into account the difference between trusts and corporations in certain aspects of the decision, while, in others, it blurs the distinction between the two. In support of our argument, we note that income trusts lack a separate legal personality and are thus fundamentally different from corporations. The law governing each form therefore is not, and ought not be, identical. To apply corporate law to the interpretation of trustees’ duties fails to acknowledge the absence of a distinct legal entity in the trust context, and the historically fundamental fiduciary relationship between trustees and beneficiaries (i.e., unitholders, in this context). We favour greater clarity in the drafting of the declarations of trust (DOTs) to reflect an understanding that corporate law fiduciary duties should not ground trustees’ duties. Simply importing corporate law fiduciary duties into the DOT undermines the certainty on which DOTs, and thus the income trust market, should operate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".